Fear & Greed OscillatorFear & Greed Oscillator – Technical Sentiment Tool
This synthetic indicator measures emotional extremes in the market — fear and greed — based purely on price action, volume, and volatility.
It does not rely on external Fear & Greed Index data — instead, it delivers a technical interpretation of market sentiment.
📏 Built from 4 key components:
Volatility Score (ATR): Measures price volatility relative to current price. Higher volatility suggests emotional reactions.
Volume Score: Compares current volume to the 20-period average. Elevated volume = stronger market participation.
Momentum Score (RSI): Measures distance of RSI from the neutral 50-level, representing price strength.
Price Position in Range: Compares current price within the last 50-bar high-low range. Indicates possible overbought/oversold extremes.
These components are scaled, averaged, and smoothed using EMA (📐 Smoothing Length), with a neutral SMA-based centerline (📏 Centerline Length).
The final oscillator reflects deviation from the emotional mean.
✅ Signal Highlights:
📈 Buy Zone (Fear Reversal): When the oscillator rises above the Fear Threshold.
📉 Sell Zone (Greed Reversal): When the oscillator falls below the Greed Threshold.
Background color shifts visually highlight these sentiment reversals.
💡 Use Case:
Designed to detect emotional sentiment extremes — not classical buy/sell signals.
Useful in contrarian strategies or as a sentiment filter within trend-based systems.
Can be combined with other confirmation tools for improved signal quality.
🧠 This indicator does not use any external sentiment data. All signals are derived from technical conditions, offering a pure chart-based view of fear and greed in the market.
Indicators and strategies
TrueTrend MaxRThe TrueTrend MaxR indicator is designed to identify the most consistent exponential price trend over extended periods. It uses statistical analysis on log-transformed prices to find the trendline that best fits historical price action, and highlights the most frequently tested or traded level within that trend channel.
For optimal results, especially on high timeframes such as weekly or monthly, it is recommended to use this indicator on charts set to logarithmic scale. This ensures proper visual alignment with the exponential nature of long-term price movements.
How it works
The indicator tests 50 different lookback periods, ranging from 300 to 1280 bars. For each period, it:
- Applies a linear regression on the natural logarithm of the price
- Computes the slope and intercept of the trendline
- Calculates the unbiased standard deviation from the regression line
- Measures the correlation strength using Pearson's R coefficient
The period with the highest Pearson R value is selected, meaning the trendline drawn corresponds to the log-scale trend with the best statistical fit.
Trendline and deviation bands
Once the optimal period is identified, the indicator plots:
- A main log-scale trendline
- Upper and lower bands, based on a user-defined multiple of the standard deviation
These bands help visualize how far price deviates from its core trend, and define the range of typical fluctuations.
Point of Control (POC)
Inside the trend channel, the space between upper and lower bands is divided into 15 logarithmic levels. The script evaluates how often price has interacted with each level, using one of two selectable methods:
- Touches: Counts the number of candles crossing each level
- Volume: Weighs each touch by the traded volume at that candle
The level with the highest cumulative interaction is considered the dynamic Point of Control (POC), and is plotted as a line.
Annualized performance and confidence display
When used on daily or weekly timeframes, the script also calculates the annualized return (CAGR) based on the detected trend, and displays:
- A performance estimate in percentage terms
- A textual label describing the confidence level based on the Pearson R value
Why this indicator is useful
- Automatically detects the most statistically consistent exponential trendline
- Designed for log-scale analysis, suited to long-term investment charts
- Highlights key price levels frequently visited or traded within the trend
- Provides objective, data-based trend and volatility insights
- Displays annualized growth rate and correlation strength for quick evaluation
Notes
- All calculations are performed only on the last bar
- No future data is used, and the script does not repaint
- Works on any instrument or timeframe, with optimal use on higher timeframes and logarithmic scaling
Candle Breakout Oscillator [LuxAlgo]The Candle Breakout Oscillator tool allows traders to identify the strength and weakness of the three main market states: bullish, bearish, and choppy.
Know who controls the market at any given moment with an oscillator display with values ranging from 0 to 100 for the three main plots and upper and lower thresholds of 80 and 20 by default.
🔶 USAGE
The Candle Breakout Oscillator represents the three main market states, with values ranging from 0 to 100. By default, the upper and lower thresholds are set at 80 and 20, and when a value exceeds these thresholds, a colored area is displayed for the trader's convenience.
This tool is based on pure price action breakouts. In this context, we understand a breakout as a close above the last candle's high or low, which is representative of market strength. All other close positions in relation to the last candle's limits are considered weakness.
So, when the bullish plot (in green) is at the top of the oscillator (values above 80), it means that the bullish breakouts (close below the last candle low) are at their maximum value over the calculation window, indicating an uptrend. The same interpretation can be made for the bearish plot (in red), indicating a downtrend when high.
On the other hand, weakness is indicated when values are below the lower threshold (20), indicating that breakouts are at their minimum over the last 100 candles. Below are some examples of the possible main interpretations:
There are three main things to look for in this oscillator:
Value reaches extreme
Value leaves extreme
Bullish/Bearish crossovers
As we can see on the chart, before the first crossover happens the bears come out of strength (top) and the bulls come out of weakness (bottom), then after the crossover the bulls reach strength (top) and the bears weakness (bottom), this process is repeated in reverse for the second crossover.
The other main feature of the oscillator is its ability to identify periods of sideways trends when the sideways values have upper readings above 80, and trending behavior when the sideways values have lower readings below 20. As we just saw in the case of bullish vs. bearish, sideways values signal a change in behavior when reaching or leaving the extremes of the oscillator.
🔶 DETAILS
🔹 Data Smoothing
The tool offers up to 10 different smoothing methods. In the chart above, we can see the raw data (smoothing: None) and the RMA, TEMA, or Hull moving averages.
🔹 Data Weighting
Users can add different weighting methods to the data. As we can see in the image above, users can choose between None, Volume, or Price (as in Price Delta for each breakout).
🔶 SETTINGS
Window: Execution window, 100 candles by default
🔹 Data
Smoothing Method: Choose between none or ten moving averages
Smoothing Length: Length for the moving average
Weighting Method: Choose between None, Volume, or Price
🔹 Thresholds
Top: 80 by default
Bottom: 20 by default
SD Median NUPL-Z🧠 Overview
SD Median NUPL-Z is a trend-following indicator that leverages a normalized version of Bitcoin’s Net Unrealized Profit/Loss (NUPL) metric, filtered through a median-based volatility band. Unlike traditional NUPL which is often used to spot extremes, this indicator is designed to identify sustained directional trends — entering only when both on-chain momentum and price structure align.
🧩 Key Features
Z-Scored NUPL Trend Engine: Normalizes NUPL using rolling mean and standard deviation to create a smoothed trend signal.
Price Structure Filter: Implements a median-based price band to avoid false entries during short-term volatility.
Custom Thresholds: User-defined thresholds determine when the trend signal is strong enough to justify a long or short directional bias.
Directional Candle Coloring: Reinforces current trend regime visually with aqua (bullish) and red (bearish) plots and candles.
Optimized for BTC: Uses Bitcoin’s Market Cap and Realized Cap to construct the NUPL input.
🔍 How It Works
On-Chain Core: NUPL is calculated as the percentage of unrealized profit in the market: (Market Cap - Realized Cap) / Market Cap * 100.
Z-Score Transformation: The raw NUPL value is normalized using a rolling average and standard deviation over a set window (default 134 days), producing the NUPL-Z series.
Median-Based Price Filter: A rolling 50th percentile (median) of price is used alongside its own standard deviation to create upper and lower bounds.
These bounds define a "volatility corridor" around price; the trend signal is only acted upon if price confirms by staying outside these bands.
Signal Logic:
A Long signal is triggered when NUPL-Z rises above the long threshold and price is not below the lower band.
A Short signal is triggered when NUPL-Z falls below the short threshold.
State Variable (CD): Tracks the current market regime, used to control plotting and color changes.
🔁 Use Cases & Applications
Momentum-Based Trend Following: Helps traders align with directional moves backed by both on-chain sentiment and supportive price structure.
Filtered Entry Timing: Reduces premature or noise-based entries by requiring price confirmation before committing to NUPL-based signals.
Best Suited for BTC: This tool is designed specifically around Bitcoin’s on-chain metrics and is not intended for altcoins or low-volume assets.
✅ Conclusion
SD Median NUPL-Z repurposes a traditionally cyclical valuation tool into a modern trend-following signal by combining statistical normalization with dynamic price structure filtering. It offers a more robust way to participate in high-conviction directional trends, reducing the likelihood of entering during short-lived counter moves.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
Golden & Death Cross ConnectorThe Golden & Death Cross Connector automatically identifies every 50-period/200-period golden cross (bullish crossover of the 50 SMA above the 200 SMA) and death cross (bearish crossunder), then visually marks each event with a vertical line and on-chart label. As soon as a golden cross occurs, the background highlights for five bars and a green vertical line and “BUY 50/200” label appear; when a death cross follows, a red line and “SELL 50/200” label draw. Finally, a bold blue line connects each golden cross to its subsequent death cross, making it easy to see the duration and price range of each cycle at a glance. Use this tool to spot trend shifts, measure trade duration, and improve timing confidence on any timeframe.
NUPL-Z For Loop🧠 Overview
NUPL-Z For Loop is a trend-following indicator built on Bitcoin’s on-chain Net Unrealized Profit/Loss (NUPL) metric. It uses a Z-scored transformation of NUPL and a custom loop-based scoring system to measure the consistency of directional movement. Rather than identifying tops and bottoms, this tool is designed to track sustained trends and filter out short-term noise, making it ideal for momentum-aligned strategies.
🧩 Key Features
Loop-Based Trend Logic: Assesses trend strength by summing the number of upward vs. downward moves in Z-scored NUPL across a custom lookback.
Z-Score Normalization: Applies long-term statistical normalization to NUPL to emphasize deviation from average behavior over time.
Threshold-Based Regime Shifts: Custom input thresholds define when trend strength is significant enough to trigger long or short signals.
Directional Market State Tracking: Internally tracks bullish, bearish, or neutral conditions to guide trend entries.
BTC-Focused On-Chain Analysis: Tailored specifically for Bitcoin using Market Cap and Realized Cap inputs.
🔍 How It Works
NUPL Calculation: Derived as the percentage of net unrealized profit relative to market cap: (MC - RMC) / MC * 100.
Z-Scoring: NUPL is normalized using a rolling mean and standard deviation over a long window (default 1300 days) to create a smoothed trend signal.
Directional Loop: A custom loop iterates from the start_loop to the end_loop, comparing the current Z-score to past values.
Each instance where NUPL_Z > NUPL_Z adds +1 to the score; otherwise, it subtracts -1.
This cumulative score reflects how consistently NUPL-Z has been trending.
Signal Logic:
Long signal when loop score exceeds long_threshold.
Short signal when score falls below short_threshold.
CD State Engine: Maintains the current trend regime (1 for long, -1 for short), which drives plot coloring and overlays.
🔁 Use Cases & Applications
Momentum Trend Filter: Detects and confirms sustained directional strength in BTC’s profit/loss positioning.
Noise Suppression: Avoids reactive signals from one-off spikes or dips in NUPL by requiring a consistent trend before confirming bias.
Best Suited for BTC: Designed specifically for Bitcoin’s price and on-chain structure, using its unique NUPL dynamics.
✅ Conclusion
NUPL-Z For Loop transforms a traditionally mean-reverting indicator into a trend-following signal engine. By scoring the consistency of movement in normalized NUPL, this tool identifies trend strength rather than reversal potential — providing more reliable context for momentum-aligned trades on Bitcoin.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
MVRV-Z For Loop🧠 Overview
MVRV-Z For Loop is a trend-following indicator that applies a custom directional for-loop logic to the MVRV Z-score. By evaluating the number of consecutive Z-score improvements or deteriorations over time, it identifies sustained directional pressure in Bitcoin’s on-chain trend — helping traders align with prevailing market strength rather than reacting to single-point extremes.
🧩 Key Features
Loop-Based Trend Filter: Applies a running comparison loop to assess whether MVRV-Z has been consistently strengthening or weakening.
Directional Scoring System: Each upward movement contributes positively, and each downward movement negatively, producing a cumulative trend score.
Z-Scored MVRV: Leverages on-chain valuation via the Market Cap to Realized Cap ratio, normalized using a long-term rolling average and standard deviation.
Custom Thresholds: User-defined thresholds for long and short signals based on trend score magnitude.
Dynamic Candle Coloring: Visually reinforces trend state with aqua for bullish and red for bearish environments.
🔍 How It Works
Z-score Transformation: The MVRV ratio is normalized over a long lookback (default 1050 days), creating a standardized valuation signal.
For-Loop Engine: A directional loop compares the current MVRV-Z value to previous values within a defined range (start to end).
If today’s value is higher than ma , it adds +1 to the score; otherwise, it subtracts -1.
This loop effectively measures momentum consistency rather than magnitude alone.
Signal Logic:
A Long signal is triggered when the cumulative trend score exceeds the long_threshold.
A Short signal is triggered when the score drops below the short_threshold.
State Variable (CD): Tracks the market regime (1 = long, -1 = short), updating only when a valid condition is met.
🔁 Use Cases & Applications
Trend Confirmation Tool: Helps traders assess whether a directional move has been sustained over time before committing.
Momentum Alignment: Filters out short-term noise by scoring consistency in MVRV-Z movement rather than relying on single-bar reversals.
Best Suited for BTC: This indicator is specifically built using Bitcoin’s Market Cap and Realized Cap metrics, making it ideal for BTC trend tracking.
✅ Conclusion
MVRV-Z For Loop transforms the traditional MVRV Z-score into a trend-following signal using a cumulative scoring approach. It excels in highlighting sustained directional strength and avoids premature entries during valuation whipsaws. This makes it a strong tool for traders looking to stay on the right side of the trend without overreacting to short-term fluctuations.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
SD Median MVRV-Z🧠 Overview
SD Median MVRV-Z is a trend-following indicator that uses on-chain valuation signals as a supportive filter. It blends the momentum of the MVRV Z-score with a dynamic median-based price structure to provide cleaner, more reliable directional signals. This tool is designed to identify when price and trend align with favorable broader context — not to pinpoint overbought or oversold extremes.
🧩 Key Features
Trend-Following Core: Signals are built around directional strength, not reversion.
MVRV Z-Score Momentum: Utilizes the statistical momentum of Market Cap vs Realized Cap as a macro trend driver.
Rolling Median Filter: Applies a price-based condition to ensure trend signals are not triggered during short-term counter-moves or noise.
Threshold Customization: Input controls allow traders to define the strength required to trigger long or short signals.
Dynamic Visualization: Candle coloring and filled zones provide instant feedback on current market regime.
🔍 How It Works
Trend Signal: The MVRV ratio is normalized via Z-scoring to produce a momentum-like signal based on how far current valuation deviates from its rolling average.
Price Filter: A rolling median and standard deviation of price define an upper and lower band. These serve to filter out MVRV-Z signals that occur when price is moving against the perceived direction.
Signal Logic:
Long signal = MVRV-Z above threshold and price is not in the lower volatility band.
Short signal = MVRV-Z below threshold, regardless of price band (more aggressive condition).
Directional Engine (CD): Encodes the market regime state (1 for long, -1 for short, 0 for neutral), and drives all visual outputs.
🔁 Use Cases & Applications
Momentum Confirmation: Identify when on-chain momentum and price structure both confirm a trend direction.
Reduced Whipsawing: Filter out weak or conflicting trend signals that would otherwise lead to false entries.
Best Suited for BTC: This indicator is specifically tailored for Bitcoin, using BTC’s Market Cap and Realized Cap data from on-chain sources.
✅ Conclusion
SD Median MVRV-Z is a trend-centric tool that ensures directional conviction by requiring agreement between price structure and underlying market momentum. It is not meant to detect tops or bottoms, but instead to help traders participate in sustainable moves with greater confidence.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
Configurable Vertical LineThis indicator adds a vertical line at a set amount of bars back. Specifically for when you are using the "auto" chart sizing and the long or short position on auto.
this will allow consistent measuring without using the measuring tool.
SNIPER-AVTRADINGPROSNIPER-AVTRADINGPRO Indicator Analysis
This Pine Script indicator combines CCI (Commodity Channel Index) and ADX (Average Directional Index) to identify strong trends and potential reversals through divergences.
Key Components:
CCI Calculation:
Default period: 20
Plotted as colored columns (green above 0, red below 0)
Key levels marked at +200 and -200
ADX Calculation:
Default period: 14
Threshold for strong trend: 20 (configurable)
Divergence Detection:
Uses pivot points to identify potential divergences between price and CCI
Bullish divergence: Lower price lows with higher CCI lows
Bearish divergence: Higher price highs with lower CCI highs
Visual Features:
Background coloring for strong bullish (green) and bearish (red) conditions
Lines drawn to highlight divergences
ADX plotted as a white line
Alert Conditions:
Strong bullish - When CCI > 100 and ADX > threshold
Strong bearish - When CCI < -100 and ADX > threshold
Bullish divergence - When price makes lower low but CCI makes higher low
Bearish divergence - When price makes higher high but CCI makes lower high
The indicator is designed to help spot high-probability trading opportunities by combining momentum (CCI) with trend strength (ADX) and divergence patterns.
Steph's 8 EMA Pullback v2
basically just an 8 EMA pullback indicator.
green triangles signal towards a bullish trend
red triangles signal towards a bearish trend
price need to be above the 29 ema for bullish, below for bearish
have fun happy trading
Steph's Shadow Supply v2Detects HTF supply and demand zones by wick extremes, draws colored boxes that auto‑extend until broken (then dashed), and alerts on creation and price touches—no clutter, pure zone visuals.
(Based off of Steph's "Shadow" supply and demand strategy.)
Sistema Avanzado AVTRADINGPRO📊 AVTRADINGPRO Advanced System – Multidimensional Analysis
Professional Indicator for TradingView
🔹 Created by: Tony – AVTRADINGPRO
🔹 Version: Pine Script v5
🔹 License: Mozilla Public License 2.0
🎯 Indicator Purpose
This advanced system integrates multidimensional technical analysis, combining multiple tools into one:
✅ IEP (Precise Entry Indicator): Strategy based on EMA, RSI, and Volume.
✅ Trend Analyzer: Classifies directional strength (ADX, DMI).
✅ Analytical Dashboard: Real-time visual summary of market conditions.
✅ 4PM NY Lines: Key institutional trading levels.
🛠 Main Configuration
🔸 IEP AVTRADINGPRO (Entry Signals)
Fast EMA (10) vs. Slow EMA (20): Crossovers to determine trend.
RSI (14): Overbought/oversold filter.
Volume Spike: Confirmation through volume surges.
🔸 Multidimensional Trend Analyzer
Trend Classification:
Strong Bullish/Bearish (ADX > 25 + EMA alignment).
Moderate/Sideways (ADX between 20–25).
Additional Indicators:
MACD (12,26,9)
Bollinger Bands (20,2)
DMI/ADX (14)
🔸 Analytical Dashboard
Displays real-time key data:
📌 Current Trend
📌 RSI State (Overbought/Oversold)
📌 MACD Signal
📌 Bollinger Bands Position
📌 ADX Strength
📌 Volume (Spike/Normal)
🔸 4PM NY Levels (15M Timeframe)
Automatically plots High/Low levels of the last 4 candles from 4PM ET.
Extended lines labeled as “Level 3”, referencing ICT institutional concepts.
📊 Visualization
EMA Lines:
EMA 10 (blue)
EMA 20 (white)
SMA 55 (transparent red)
Graphical Signals:
Green/Red triangles for long/short entries.
Background Color:
Blue (Bullish) / White (Bearish)
🚀 How to Use It
Apply to any TradingView chart (15M for 4PM lines).
Adjust parameters based on your strategy (RSI threshold, volume settings, etc.).
Look for confluences:
EMA cross + RSI filter + volume spike + MACD alignment.
Watch for reactions at 4PM NY levels.
Use the dashboard for quick confirmation of market conditions.
📢 Notes for the AVTRADINGPRO Community
✅ Perfect for day trading and swing trading.
✅ Combines price action with indicators, aligned with the ICT methodology.
✅ Fully customizable for different timeframes (adjust UTC offset as needed).
SuperTrend and Trendlines ComboSmall script to combine SuperTrend and Trendlines with breaks into 1 script.
ICT Time Candles - AVTRADINGPRO📊 ICT Time Candles – AVTRADINGPRO
Multi-Timeframe Indicator for TradingView
🔹 Created by: Tony – AVTRADINGPRO
🔹 Version: Pine Script v5
🔹 License: Mozilla Public License 2.0
🎯 Indicator Purpose
This indicator displays higher timeframe (HTF) candles directly on your current chart, allowing traders to analyze market structure from multiple temporal perspectives. It also identifies Fair Value Gaps (FVG) and Volume Imbalances (VI) — essential tools in the ICT (Inner Circle Trader) methodology.
Developed by AVTRADINGPRO, this tool is designed to empower the community with a clear, multi-timeframe view of price action combined with precise imbalance detection.
🛠 Indicator Settings
🔸 Higher Timeframes (HTF)
Select up to 6 additional timeframes (e.g., 5m, 15m, 1H, 4H, 1D, 1W).
Toggle on/off each HTF as needed.
Control the maximum number of historical candles displayed for each timeframe.
🔸 Candle Style
Custom colors for bullish and bearish candles.
Adjustable candle body width, wick thickness, and spacing between candles.
🔸 Trace Lines
Plot lines for Open, Close, High, and Low levels of HTF candles.
Fully customizable line styles (solid, dashed, dotted, etc.).
Option to anchor the lines to the first or last timeframe selected.
🔸 Labels and Time Remaining
Display the timeframe name on the chart.
Show a countdown timer for the closing of the current HTF candle.
🔸 Imbalance Detection
Fair Value Gaps (FVG): Highlight unfilled liquidity zones.
Volume Imbalances (VI): Identify areas of high absorption and inefficient price movement.
AVTRADINGPRO ICT (B) AVTRADINGPRO ICT Indicator – Documentation and Optimization
📌 Overview
This script is an advanced indicator for TradingView developed by AVTRADINGPRO, designed to identify key elements of Institutional Trading Concepts (ICT), such as:
Market Structure Shifts (MSS)
Break of Structure (BOS)
Order Blocks (OB)
Fair Value Gaps (FVG)
Liquidity Zones
Volume Imbalances
Kill Zones (Key Sessions)
🛠 Settings and Customization
The indicator is highly customizable through inputs in the TradingView interface:
Market Structures
MSS (Market Structure Shifts): Detects trend reversals.
BOS (Break of Structure): Confirms trend continuation.
Length: Adjusts sensitivity (values between 3 and 10).
Order Blocks
Show Order Blocks: Enable/disable the display of order blocks.
Swing Lookback: Defines the historical range to identify OBs.
Customizable colors for bullish/bearish OBs.
Fair Value Gaps (FVGs)
FVG Type: Standard (FVG) or Implied (IFVG).
Balance Price Range (BPR): Equilibrium zone between FVGs.
Visualization: Up to 20 visible FVGs.
Liquidity
Margin: Adjusts the range around liquidity zones.
Colors for Buy Side / Sell Side Liquidity.
Kill Zones
Key Sessions: New York, London (open/close), Asia.
Customizable colors for each session.
TAKAM 2-Candle Break Above MA200first candle (bullish or bearish) low below MA200, second candle (bullish) closes above first candle close and above MA200
Pivot Points Standard with adjustable ColorsGet Colors to the Pivots or simple change them for better readability.
Sri_Momentum Burst Histogram📝 Description :
🌀 Sri_Momentum Burst Histogram — A Custom Momentum and Volatility Fusion Tool
The Sri_Momentum Burst Histogram is a unique technical analysis tool designed to visualize sudden changes in price momentum in the form of a dynamic, color-coded histogram. This indicator helps traders identify trend accelerations, early momentum shifts, and potential exhaustion in real time.
By combining a MACD-like momentum engine with a volatility-sensitive Bollinger Band range, this script offers an enhanced view of market bursts — moments where momentum "pops" beyond typical ranges. The result is a refined perspective on market sentiment, helping traders to anticipate reversals, follow breakouts, and assess the relative strength of ongoing trends.
🧠 Core Methodology
The indicator calculates the difference between a fast and slow EMA (Exponential Moving Average), similar to a MACD histogram.
This difference is then compared across candles to gauge the rate of change in momentum — referred to here as a “momentum burst.”
A sensitivity multiplier allows you to scale the response based on your preferred timeframe and trading style.
A volatility band, derived from Bollinger Band logic, is used to frame the relative intensity of the momentum change.
The histogram is divided into two parts:
Green/Lime Bars represent increasing and decreasing bullish momentum.
Red/Orange Bars represent increasing and decreasing bearish momentum.
⚙️ Customizable Inputs
Momentum Sensitivity: Adjust the responsiveness of the burst detection mechanism.
Short EMA Period: Sets the lookback period for the fast EMA.
Long EMA Period: Sets the lookback period for the slow EMA.
Volatility Band Length: Controls the length used for Bollinger Band calculations.
Band Std Dev Multiplier: Adjusts how wide the volatility range should be, based on price dispersion.
📈 How to Use It
Use the green/red histogram bars to visually gauge momentum strength and direction.
Watch for transitions in color intensity (e.g., green to lime, red to orange) as early warning signs of trend exhaustion or reversal.
Combine with other indicators like RSI, MACD, ADX, or volume profiles to confirm entry/exit points.
Useful in both trending and ranging markets, especially on lower timeframes for scalping or intraday setups.
✅ Key Features
Easy-to-read histogram with intuitive color coding.
Fully customizable settings for fine-tuned signal control.
Can be used on any asset class — stocks, forex, crypto, commodities.
Optimized for real-time use with minimal lag.
🔐 This script is an original creation, developed independently by adapting publicly known mathematical concepts into a unique visualization tool. All function and variable names have been customized for originality and compliance with TradingView’s publishing and community standards.
💡 Developed by: @venkat_27
🧩 For educational purposes only — not financial advice.
Simple Green Dot SignalHere is the English version of the indicator script that plots a green dot below the candle when all of the following conditions are met:
✅ Volume breakout over the 20-period moving average
✅ Momentum (80) is positive
✅ Price above VWAP (bullish trend)
✅ +DI > -DI and +DI > ADX
✅ RSI < 30 (oversold bounce)
Custom Paul MACD-likePaul MACD is an indicator created by David Paul. It is implemented to effectively represent trend periods and non-trend (sideways/consolidation) periods, and its calculation method is particularly designed to reduce whipsaw.
Unlike the existing MACD which uses the difference between short-term (12) and long-term (26) exponential moving averages (EMA), Paul MACD has a different calculation method. This indicator uses a "center value" or "intermediate value". Calculation occurs when this intermediate value is higher than the High value (specifically, the difference between the center and High is calculated) or lower than the Low value (specifically, the difference between the center and Low is calculated). Otherwise, the value becomes 0. Here, the High and Low values are intended to be smoothly reflected using Smoothed Moving Average (SMMA). The indicator's method itself (using SMMA and ZLMA) is aimed at diluting whipsaws.
Thanks to this calculation method, in sections where whipsaw occurs, meaning when the intermediate value is between High and Low, the indicator value is expressed as 0 and appears as a horizontal line (zero line). This serves to visually clearly show sideways/consolidation periods.
Swing-Based Fibonacci Zone + Divergence SignalSwing-Based Fibonacci Zone + Divergence
🗞️ Short Headline:
🔍 Dynamic Fib Zone Engine for Price Action Traders
🧾 Description:
This indicator dynamically draws Fibonacci-based support and resistance zones based on recent swing high and low points. It helps traders identify high-probability reversal, breakout, or scalping opportunities using adaptive price zones that update in real time. Integrated with divergence detection using RSI, it highlights potential bullish and bearish reversals with clean visual cues.
🔧 Key Features:
🔁 Auto-updating Fibonacci Zones (0%, 25%, 50%, 75%, 100%)
💡 Visual price level labels on the right side (customizable size/offset/color)
📉 Bearish RSI Divergence marker at top of the zone (100%)
📈 Bullish RSI Divergence marker at bottom of the zone (0%)
🎛️ Flexible configuration for zone styling and detection logic
⚡ Real-time updates – ideal for scalpers and intraday traders
🧠 Best Use Cases:
Identify scalping entries when price breaks and closes above/below 25/75 zones
Spot potential reversals using RSI divergence confirmations
Support other systems like Order Flow, Delta, or Volume Analysis
⏱️ Recommended Timeframes:
1min / 5min / 15min / 1H